research-article

A Stochastic Geometry Analysis of Multichannel Cognitive Radio Networks

Authors:

Claudina Rattaro,

Paola Bermolen,

Federico Larroca,

Pablo BelzarenaAuthors Info & Claims

LANC '16: Proceedings of the 9th Latin America Networking Conference

Pages 32 - 38

https://doi.org/10.1145/2998373.2998450

Published: 13 October 2016 Publication History

Abstract

With the explosive development of wireless technologies, the demand of electromagnetic spectrum has been growing dramatically. Therefore, looking for more available spectrum, regulators have already begun to study secondary assignments in licensed bands. In this paper we present a probabilistic model based on a stochastic geometry approach to analyze cognitive radio networks. We focus on those scenarios where more than one band is available, a natural situation in this kind of networks. Quiet surprisingly, and to the best of our knowledge, such scenario has not been deeply explored yet in the literature. In particular we focus our study in the two main performance metrics: medium access probability and coverage probability. We evaluate our proposal through simulations and we present the analytical results of a particular case.

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Digital Library

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Digital Library

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C. Rattaro, P. Bermolen, P. Belzarena, and F. Larroca. Report: A stochastic geometry analysis of multichannel cognitive radio networks. Technical report, Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay, 2016.

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Cited By

Okegbile SMaharaj BAlfa A(2021)Interference Characterization in Underlay Cognitive Networks With Intra-Network and Inter-Network DependenceIEEE Transactions on Mobile Computing10.1109/TMC.2020.299340820:10(2977-2991)Online publication date: 1-Oct-2021
https://doi.org/10.1109/TMC.2020.2993408
Okegbile SMaharaj BAlfa A(2020)Spatiotemporal Characterization of Users’ Experience in Massive Cognitive Radio NetworksIEEE Access10.1109/ACCESS.2020.29819538(57114-57125)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2981953
Okegbile SMaharaj BAlfa A(2020)Stochastic geometry approach towards interference management and control in cognitive radio network: A surveyComputer Communications10.1016/j.comcom.2020.12.011Online publication date: Dec-2020
https://doi.org/10.1016/j.comcom.2020.12.011
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A Stochastic Geometry Analysis of Multichannel Cognitive Radio Networks
1. Networks
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cover image ACM Other conferences

LANC '16: Proceedings of the 9th Latin America Networking Conference

October 2016

69 pages

ISBN:9781450345910

DOI:10.1145/2998373

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCOMM: ACM Special Interest Group on Data Communication
CLEI: Centro Latinoamericano de Estudios en Informática

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 October 2016

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LANC '16: Latin America Networking Conference

October 13 - 14, 2016

Valparaiso, Chile

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Cited By

Okegbile SMaharaj BAlfa A(2021)Interference Characterization in Underlay Cognitive Networks With Intra-Network and Inter-Network DependenceIEEE Transactions on Mobile Computing10.1109/TMC.2020.299340820:10(2977-2991)Online publication date: 1-Oct-2021
https://doi.org/10.1109/TMC.2020.2993408
Okegbile SMaharaj BAlfa A(2020)Spatiotemporal Characterization of Users’ Experience in Massive Cognitive Radio NetworksIEEE Access10.1109/ACCESS.2020.29819538(57114-57125)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2981953
Okegbile SMaharaj BAlfa A(2020)Stochastic geometry approach towards interference management and control in cognitive radio network: A surveyComputer Communications10.1016/j.comcom.2020.12.011Online publication date: Dec-2020
https://doi.org/10.1016/j.comcom.2020.12.011
Ali AYaqoob IAhmed EImran MKwak KAhmad AHussain SAli Z(2018)Channel Clustering and QoS Level Identification Scheme for Multi-Channel Cognitive Radio NetworksIEEE Communications Magazine10.1109/MCOM.2018.170075256:4(164-171)Online publication date: Apr-2018
https://doi.org/10.1109/MCOM.2018.1700752

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